Applied Scientist - Supply Chain

Auger • Bellevue, TX

31d • Hybrid

About The Position

Build at Auger Auger is the autonomous operating system for supply chains — the layer that finally allows disparate systems like ERP, WMS, and TMS to work together instead of against each other. Most supply chain software surfaces problems and waits for a human to act. Auger solves them. Our AI detects disruptions, evaluates trade-offs, and executes decisions automatically — moving from signal to action in seconds, not weeks. We eliminate the Coordination Tax: the billions in capital and time lost when disconnected systems force the best people in the business to become the Human API between planning and execution. At Auger, we design autonomy into our systems. We expect the same from our people. That means: Clear ownership, not decision by consensus First principles over inherited patterns Shipping systems, not slide decks Fast feedback from reality, not opinions If you want to build, ship, and iterate against reality, Auger is for you. Auger was founded by Dave Clark and is backed by $150M from Oak HC/FT and Eclipse Capital. Headquarters in Dallas, TX and Bellevue, Washington. About the Team & Role We are seeking Supply Chain Applied Scientists to join Russell Allgor's team in Bellevue, WA or Dallas, TX. In this role, you will design, develop, and deploy advanced AI and optimization solutions to address some of the most pressing problems in modern supply chains — from network design and demand forecasting to inventory optimization and risk management. This role requires deep technical expertise in data science, machine learning, and optimization, as well as the ability to lead cross-functional teams and influence senior executives. At times, you may be assigned to a specific customer engagement and operate in a customer-facing role translating a customers supply chain objectives into the science required to bring Auger's Autonomous Operating System to life in their ecosystem.

Requirements

• PhD in Mathematics, Operations Research, Computer Science, Industrial Engineering, or a related field.
• Demonstrated expertise in optimization, machine learning, or enterprise-scale data systems.
• Proven leadership experience scaling cross-functional data and AI teams.
• Deep technical credibility in AI and data science, with a track record of delivering applied solutions in industry.
• Exceptional EQ and collaboration skills, with the ability to unify scientists, engineers, product leaders, and customers around a shared vision.
• Experience in supply chain, logistics, or enterprise operations

Responsibilities

• Develop and implement novel models in optimization, machine learning, and AI tailored to large-scale supply chain problems.
• Translate complex scientific concepts into practical, scalable solutions that drive measurable business impact.
• Formulate and solve large-scale mixed-integer and stochastic programs (network design, facility location, inventory, routing) using decomposition (Benders/Lagrangian), cutting planes, and column generation.
• Build probabilistic demand/supply models (e.g., Bayesian hierarchical time series), deliver calibrated forecasts, and quantify uncertainty with prediction intervals/conformal methods.
• Collaborate closely with engineers, product managers, and customer teams to bring prototypes into production.
• Engage directly with enterprise executives, articulating the value of AI and data science solutions with confidence and clarity.
• Publish, present, and evangelize Auger’s thought leadership in supply chain science and AI.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree